Do Retailers Benefit from Deploying Customer Analytics?

Germann, Frank; Lilien, Gary L.; Fiedler, Lars; Kraus, Matthias

doi:10.1016/j.jretai.2014.08.002

Cited by 85 publications

(45 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The emerging literature on BDA has identified a positive relationship between the deployment of customer analytics and firm performance (Germann et al, 2014). For example, BDA allows firms to analyze and manage strategy through a data lens (Brands, 2014).…”

Section: Big Data Analytics As a New Enabler Of Competitive Advantagementioning

confidence: 99%

Big data analytics and firm performance: Effects of dynamic capabilities

Wamba

Gunasekaran

Akter

et al. 2017

Journal of Business Research

1,432

1,227

View full text Add to dashboard Cite

Drawing on the resource-based view and the literature on big data analytics (BDA), information system (IS) success and the business value of information technology (IT), this study proposes a big data analytics capability (BDAC) model. The study extends the above research streams by examining the direct effects of BDAC on firm performance (FPER), as well as the mediating effects of process-oriented dynamic capabilities (PODC) on the relationship between BDAC and FPER. To test our proposed research model, we used an online survey to collect data from 297 Chinese IT managers and business analysts with big data and business analytic experience. The findings confirm the value of the entanglement conceptualization of the hierarchical BDAC model, which has both direct and indirect impacts on FPER. The results also confirm the strong mediating role of PODC in improving insights and enhancing FPER. Finally, implications for practice and research are discussed. Disciplines Business Publication DetailsFosso Wamba, S., Gunasekaran, A., Akter, S., Ren, S. Ji-fan.

show abstract

Section: Big Data Analytics As a New Enabler Of Competitive Advantagementioning

confidence: 99%

Big data analytics and firm performance: Effects of dynamic capabilities

Wamba

Gunasekaran

Akter

et al. 2017

Journal of Business Research

1,432

1,227

View full text Add to dashboard Cite

show abstract

“…Further, the continued advancement of statistically complex methods, coupled with increases in the variety and volume of data, provides a platform for international marketing channels researchers to explore new questions never before deemed possible but of critical importance to the practice of international marketing channels (e.g., regulatory issues pertaining to customer tracking across markets, multi-country single source customer data collection and utilization). Germann et al (2014), using survey data from top managers based in the Americas, Europe Middle East and Africa and Asia, demonstrate that J.J. Hoppner, D.A. Griffith / Journal of Retailing xxx (xxx, 2015) xxx-xxx Table 10 Developed versus developing countries.…”

Section: Schwarz Value Theorymentioning

confidence: 99%

Looking Back to Move Forward: A Review of the Evolution of Research in International Marketing Channels

Hoppner

Griffith

2015

Journal of Retailing

View full text Add to dashboard Cite

“…One of the most critical aspects of ML is classifications [23], which is the initial phase in data analytics [17]. Prior studies found new fields that can deploy this aspect like face recognition or even recognition of hand writing.…”

Section: Machine Learning and Classification Methodsmentioning

confidence: 99%

“…Prior studies found new fields that can deploy this aspect like face recognition or even recognition of hand writing. According to [23], operating algorithm of classification has been divided into two categories: offline and online. In offline approach, static dataset is deployed for training.…”

Section: Machine Learning and Classification Methodsmentioning

confidence: 99%

Literature Review on Big Data Analytics Methods

Vanani¹,

Majidian²

2020

Social Media and Machine Learning

View full text Add to dashboard Cite

Companies and industries are faced with a huge amount of raw data, which have information and knowledge in their hidden layer. Also, the format, size, variety, and velocity of generated data bring complexity for industries to apply them in an efficient and effective way. So, complexity in data analysis and interpretation incline organizations to deploy advanced tools and techniques to overcome the difficulties of managing raw data. Big data analytics is the advanced method that has the capability for managing data. It deploys machine learning techniques and deep learning methods to benefit from gathered data. In this research, the methods of both ML and DL have been discussed, and an ML/DL deployment model for IOT data has been proposed.

show abstract

Do Retailers Benefit from Deploying Customer Analytics?

Cited by 85 publications

References 16 publications

Big data analytics and firm performance: Effects of dynamic capabilities

Big data analytics and firm performance: Effects of dynamic capabilities

Looking Back to Move Forward: A Review of the Evolution of Research in International Marketing Channels

Literature Review on Big Data Analytics Methods

Contact Info

Product

Resources

About